Access
To read this story in full you will need to login or make a payment (see right).
Article
Nature 447, 1075-1080 (28 June 2007) | doi:10.1038/nature05852; Received 30 November 2006; Accepted 18 April 2007; Published online 3 June 2007
Open Innovation Challenges
-
Novel Approaches to Protecting Maize from Insect Damage
The Seeker is looking for novel approaches to protecting maize from insect damage. This Challenge re...
-
Single-cell Analysis Platform
This Challenge is looking for novel approaches to analyzing changes at a single-cell level. This is...
nature jobs
Four Postdoctoral Fellow Positions – Synchrotron Medical Imaging
- CIHR Team in Synchrotron Medical Imaging
- Saskatchewan, Alberta, California
Data Manager
- Philip Morris International (PMI)
- Neuchatel Switzerland
Probabilistic reasoning by neurons
Tianming Yang1 & Michael N. Shadlen1
- Howard Hughes Medical Institute, Department of Physiology and Biophysics, National Primate Research Center, University of Washington, Box 357290, Seattle, Washington 98195–7290, USA
Correspondence to: Tianming Yang1Michael N. Shadlen1 Correspondence and requests for materials should be addressed to T.Y. (Email: tianming@u.washington.edu) or M.N.S. (Email: shadlen@u.washington.edu).
Abstract
Our brains allow us to reason about alternatives and to make choices that are likely to pay off. Often there is no one correct answer, but instead one that is favoured simply because it is more likely to lead to reward. A variety of probabilistic classification tasks probe the covert strategies that humans use to decide among alternatives based on evidence that bears only probabilistically on outcome. Here we show that rhesus monkeys can also achieve such reasoning. We have trained two monkeys to choose between a pair of coloured targets after viewing four shapes, shown sequentially, that governed the probability that one of the targets would furnish reward. Monkeys learned to combine probabilistic information from the shape combinations. Moreover, neurons in the parietal cortex reveal the addition and subtraction of probabilistic quantities that underlie decision-making on this task.
- Howard Hughes Medical Institute, Department of Physiology and Biophysics, National Primate Research Center, University of Washington, Box 357290, Seattle, Washington 98195–7290, USA
Correspondence to: Tianming Yang1Michael N. Shadlen1 Correspondence and requests for materials should be addressed to T.Y. (Email: tianming@u.washington.edu) or M.N.S. (Email: shadlen@u.washington.edu).
To read this story in full you will need to login or make a payment (see right).
MORE ARTICLES LIKE THIS
These links to content published by NPG are automatically generated.
NEWS AND VIEWS
Neurobiology The currency of guessingNature News and Views (28 Jun 2007)
The road least takenNature Neuroscience News and Views (01 Jun 2008)
See all 8 matches for News And ViewsRESEARCH
Probabilistic reasoning by neuronsNature Article (28 Jun 2007)
Optimal representation of sensory information by neural populationsNature Neuroscience Article (01 May 2006)
See all 67 matches for Research
